Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 2,371 to 2,380 of 166,891 articles

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search.

IEEE transactions on pattern analysis and machine intelligence
Deep neural network (DNN) deployment has been confined to larger hardware devices due to their expensive computational requirements. This challenge has recently reached another scale with the emergence of large language models (LLMs). In order to red... read more 

Evolutionary Paradigms in Histopathology Serial Sections technology

arXiv
Histopathological analysis has been transformed by serial section-based methods, advancing beyond traditional 2D histology to enable volumetric and microstructural insights in oncology and inflammatory disease diagnostics. This review outlines key ... read more 

Optimized Machine Learning for Autonomous Enzymatic Reaction Intensification in a Self-Driving Lab.

Biotechnology and bioengineering
Optimizing enzymatic catalysis is crucial for enhancing the efficiency and scalability of many bioprocesses such as biotransformations, pharmaceutical synthesis, and food processing, as well as for improving the performance of analytical applications... read more 

Machine learning algorithms for risk factor selection with application to 60-day sepsis morbidity risk for a geriatric hip fracture cohort.

BMC geriatrics
BACKGROUND: Sepsis after hip fracture in elderly people is a risk factor for mortality. The purpose of this study was to screen for risk factors for 60-day sepsis morbidity after hip fracture and to establish a predictive model using various machine ... read more 

Evaluating acute image ordering for real-world patient cases via language model alignment with radiological guidelines.

Communications medicine
BACKGROUND: Diagnostic imaging studies are increasingly important in the management of acutely presenting patients. However, ordering appropriate imaging studies in the emergency department is a challenging task with a high degree of variability amon... read more 

Prediction of protein-protein interaction based on interaction-specific learning and hierarchical information.

BMC biology
BACKGROUND: Prediction of protein-protein interactions (PPIs) is fundamental for identifying drug targets and understanding cellular processes. The rapid growth of PPI studies necessitates the development of efficient and accurate tools for automated... read more 

Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment.

Nature reviews. Clinical oncology
Cancer of unknown primary (CUP) is a metastatic malignancy for which a primary site of origin cannot be identified despite a thorough and standardized diagnostic work-up, and accounts for 1-3% of all malignancies. An unfavourable subgroup of CUP has ... read more 

Predicting patient outcomes and risk for revision surgery after hip and knee replacement surgery: study protocol for a comparison of modelling approaches using the Swiss National Joint Registry (SIRIS).

Diagnostic and prognostic research
BACKGROUND: Prediction of postoperative patient-reported outcomes and risk for revision surgery after total hip arthroplasty (THA) or total knee arthroplasty (TKA) can inform clinical decision-making, health resource allocation, and care planning. Ma... read more 

Exploring research trends in health effects of 5G antennas: a bibliometric analysis.

Electromagnetic biology and medicine
To better understand the developments and trends of studies on the health impacts of 5th Generation (5 G) antennas, a bibliometric analysis of the literature published in the Web of Science database from 2012 to 2025 was conducted. Before the analysi... read more 

Expanding Domain-Specific Datasets with Stable Diffusion Generative Models for Simulating Myocardial Infarction.

International journal of neural systems
Areas, such as the identification of human activity, have accelerated thanks to the immense development of artificial intelligence (AI). However, the lack of data is a major obstacle to even faster progress. This is particularly true in computer visi... read more